Enhanced channel allocation scheme for cross layer management in wireless network based on interference management

Rukmani, K V; Nagarajan, N.

doi:10.1007/s10586-017-1596-7

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…Wu et al [11] proposed two simple distributed strategies, in which the optimization operation is completed at each node without requiring coordination between nodes. Rukmani et al [12] suggested a high-capacity cross-layer optimization strategy based on interference management. They considered the interference elimination and area division methods in the multi-hop and multi-base station scenario, and to provide greater throughput routing based on small hops or multi-time slice allocation is designed.…”

Section: Related Workmentioning

confidence: 99%

Improve communication network issues for multi UAV

2021

IJATCSE

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In this paper, we address the problems of power efficiency, real-time routing, and rate allocation in flying ad-hoc networks (FANETs). The study designed a cross-layer optimization framework with delay constraints to solve the proposed problems and then used Lagrangian relaxation and dual decomposition methods to decompose the joint optimization problem into several lower complexity sub-problems. Moreover, Case model 3 is employed that allows each relay node to complete the optimization of different sub-problems through local information. The results show that the proposed algorithm can effectively increase the network throughput and reduce the packet-timeout ratio and power efficiency.

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Section: Related Workmentioning

confidence: 99%

Improve communication network issues for multi UAV

2021

IJATCSE

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“…Godoy(2018)hasshownthat irrespectiveofthenetworkapplication,theremustbeabalancepointtosustainlow energyconsumptionandtoavoidchanneldraining.Theincreaseinactivetimeinterval ordecreaseinsleeptimeintervalshootsupenergyusage.Thisanalysisgivesaclear understandingofWSNsbehaviour. Rukmani(2018)proposedanewmechanismforcrosslayernetworkhandling taking the scalability and inter ference factors in a wireless network. The error rate on channel interference and congestion estimation is improvised.…”

Section: Recent Techniques To Congestion Controlmentioning

confidence: 99%

A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks

Ganesan

Muthuswamy

Ganapathy

et al. 2018

International Journal of Strategic Information Technology and Applications

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Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.

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“…Home base station cellular network is a typical representative of small cellular network, usually covering a home or an office area, and has many advantages such as low power consumption, low cost, and plug and play. However, the scarcity of spectrum resources and the interference with macrocell is one of the key problems to be solved before largescale deployment of home base station cells [6][7][8]. Cognitive radio technology can be applied to the cellular network of home base stations to weaken interference.…”

Section: Introductionmentioning

confidence: 99%

Resource allocation and interference management for multi-layer wireless networks in heterogeneous cognitive networks

Meng

Liu

2019

J Wireless Com Network

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Aiming at the research of resource allocation and interference management in multi-layer wireless networks in heterogeneous cognitive networks, this paper mainly discusses the resource allocation and interference management in heterogeneous cognitive networks and proposes our proposed cluster-based cooperative interference management scheme. This scheme minimizes the cross-layer interference of multiple base station cells to primary users and avoids the same-layer interference between base station cells through joint channel allocation and power allocation. Through cognitive perception or joint scheduling, the available channel can be obtained by the home base station cell, and then the channel, power and other resources can be allocated according to the related algorithms proposed by us, so as to ensure the harmonious coexistence of the home base station cell and the authorization system such as macrocell. Finally, we validate the proposed algorithm. The simulation results show that the algorithms are effective in reducing interference, but the degree is different.

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Enhanced channel allocation scheme for cross layer management in wireless network based on interference management

Cited by 6 publications

References 12 publications

Improve communication network issues for multi UAV

Improve communication network issues for multi UAV

A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks

Resource allocation and interference management for multi-layer wireless networks in heterogeneous cognitive networks

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